Innovative Metadata Management and Data Quality in Distributed Data Lakes
Keywords:
Isolation Measurement Control Data Quality, Artificial Intelligence, Blockchains, Data Lakes, Control of Metadata.Abstract
This paper explores innovative approaches to metadata management and data quality control indistributed data lakes. With the rapid expansion of big data, distributed systems, and cloudcomputing, ensuring efficient management of metadata and maintaining high data quality have become crucial challenges
References
Alrehamy, H., & Walker, C. (2015). Personal data lake with data gravity pull. In IEEE 5th International Conference on Big Data and Cloud Computing (BDCloud 2015) (pp. 160–167). IEEE. https://doi.org/10.1109/BDCloud.2015.62
Ansari, J. W., Karim, N., Decker, S., Cochez, M., & Beyan, O. (2018). Extending data lake metadata management by semantic profiling. In 2018 Extended Semantic Web Conference (ESWC 2018) (pp. 1–15)
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Published
2021-08-10
How to Cite
Sai Arundeep Aetukuri. (2021). Innovative Metadata Management and Data Quality in Distributed Data Lakes . Journal of Computational Analysis and Applications (JoCAAA), 29(6), 1222–1238. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2717
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